Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Thorsten Koelzow"'
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2127fa2cd45f0c190317a30d1a4a090
https://doi.org/10.4271/2011-01-1101
https://doi.org/10.4271/2011-01-1101
Publikováno v:
IFIP
Library in Computer Science ISBN: 0387275576
IESS
Library in Computer Science ISBN: 0387275576
IESS
The development of software-functions in the automotive domain is subject to multiple conditions. These conditions are for example the rising number of various functions in the car, the simultaneously increasing cost pressure and shortened developmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4921e61b5e879bf01d38bf90005e8fe
https://doi.org/10.1007/11523277_1
https://doi.org/10.1007/11523277_1
Autor:
Marc M. Ellenrieder, Thorsten Koelzow
Publikováno v:
Image Processing: Algorithms and Systems
In this paper, we present a novel approach for multiple-feature, multiple-sensor classification and localization of three-dimensional objects in two-dimensional images. We use a hypothesize-and-test-approach where we fit three-dimensional geometric m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48efc9a522da0c2b88ad07ffd1e6112e
https://doi.org/10.1117/12.477727
https://doi.org/10.1117/12.477727
Autor:
Lars Krueger, Thorsten Koelzow
Publikováno v:
SPIE Proceedings.
This paper presents three novel matching algorithms, where a hypothesis of a 3D object is matched into a 2D image. The three algorithms are compared with respect to speed and precision on some examples. A hypothesis consists of the object model and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc5729e0635784e69f72a73fcb4cea38
https://doi.org/10.1117/12.451761
https://doi.org/10.1117/12.451761
Autor:
Lars Schoepfer, Thorsten Koelzow
Publikováno v:
SPIE Proceedings.
One trend in modern object recognition from images is the use of multiple features and sensors which are combined for the object recognition task. To get better classification results the features used for the classification of the objects should be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fa1d85678bcfe16c76c6900a7f34ea7
https://doi.org/10.1117/12.477028
https://doi.org/10.1117/12.477028
Autor:
Thorsten Koelzow
Publikováno v:
SPIE Proceedings.
This work presents a method for detection, localization, classification and pose estimation of objects in SAR-image sequences. Such methods have to deal with strong noise in SAR-images and have the challenge that shadows, which may occur, should not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91105f81ab727b372dc9bb2fbabef350
https://doi.org/10.1117/12.453959
https://doi.org/10.1117/12.453959